The use of spatially based complexity measures towards color gamut mapping and image resizing

Vishal Monga, Raja Bala, Claude Fillion

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Several color-imaging algorithms such as color gamut mapping to a target device and resizing of color images have traditionally involved pixel-wise operations. That is, each color value is processed independent of its neighbors in the image. In recent years, applications such as spatial gamut mapping have demonstrated the virtues of incorporating spatial context into color processing tasks. In this paper, we investigate the use of locally based measures of image complexity such as the entropy to enhance the performance of two color imaging algorithms viz. spatial gamut mapping and content-aware resizing of color images. When applied to spatial gamut mapping (SGM), the use of these spatially based local complexity measures helps adaptively determine gamut mapping parameters as a function of image content - hence eliminating certain artifacts commonly encountered in SGM algorithms. Likewise, developing measures of complexity of color-content in a pixel neighborhood can help significantly enhance performance of content-aware resizing algorithms for color images. While the paper successfully employs intuitively based measures of image complexity, it also aims to bring to light potentially greater rewards that may be reaped should more formal measures of local complexity of color content be developed.

    Original languageEnglish (US)
    Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Color Imaging XV
    Subtitle of host publicationDisplaying, Processing, Hardcopy, and Applications
    StatePublished - Mar 29 2010
    EventColor Imaging XV: Displaying, Processing, Hardcopy, and Applications - San Jose, CA, United States
    Duration: Jan 19 2010Jan 21 2010

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    ISSN (Print)0277-786X


    OtherColor Imaging XV: Displaying, Processing, Hardcopy, and Applications
    Country/TerritoryUnited States
    CitySan Jose, CA

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering


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